OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning
Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, et al.
IEEE Access (2023) Vol. 11, pp. 38864-38874
Open Access | Times Cited: 19

Showing 19 citing articles:

Developing Platform-Agnostic IIoT Applications in Edge-Cloud Environments
Loris Belcastro, Fabrizio Marozzo, Aleandro Presta, et al.
Procedia Computer Science (2025) Vol. 253, pp. 2106-2115
Open Access

Edge and Cloud Computing in Smart Cities
Μαρία Τρίγκα, Ηλίας Δρίτσας
Future Internet (2025) Vol. 17, Iss. 3, pp. 118-118
Open Access

A Petri Net-based framework for modeling and simulation of resource scheduling policies in Edge Cloud Continuum
Christoforos Vardakis, Ioannis Dimolitsas, Dimitrios Spatharakis, et al.
Simulation Modelling Practice and Theory (2025), pp. 103098-103098
Closed Access

A Survey on IoT-Edge-Cloud Continuum Systems: Status, Challenges, Use Cases, and Open Issues
Panagiotis K. Gkonis, Anastasios Giannopoulos, Panagiotis Trakadas, et al.
Future Internet (2023) Vol. 15, Iss. 12, pp. 383-383
Open Access | Times Cited: 13

Advancements in TinyML: Applications, Limitations, and Impact on IoT Devices
Abdussalam Elhanashi, Pierpaolo Dini, Sergio Saponara, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3562-3562
Open Access | Times Cited: 4

A Survey on IoT-Edge-Cloud Continuum Systems: Status, Challenges, Use Cases, and Open Issues
Panagiotis K. Gkonis, Anastasios Giannopoulos, Panagiotis Trakadas, et al.
(2023)
Open Access | Times Cited: 9

MTCL: A Multi-transport Communication Library
Federico Finocchio, Nicolò Tonci, Massimo Torquati
Lecture notes in computer science (2024), pp. 55-67
Closed Access | Times Cited: 1

Design of Platform-Independent IoT Applications in the Edge-Cloud Continuum
Fabrizio Marozzo, Andrea Vinci
(2024), pp. 589-594
Closed Access | Times Cited: 1

Load-aware switch migration for controller load balancing in edge-cloud architectures
Yong Liu, Qian Meng, Kefei Chen, et al.
Future Generation Computer Systems (2024) Vol. 162, pp. 107489-107489
Closed Access | Times Cited: 1

A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns
Sangeetha S.K.B, Sandeep Kumar Mathivanan, Hariharan Rajadurai, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Evaluation and Challenges of IoT Simulators for Intelligent Transportation System Applications
Khurram S. Khattak, Zawar Hussain Khan
Science Engineering and Technology (2023) Vol. 4, Iss. 1, pp. 94-111
Open Access | Times Cited: 4

FedCPD: A Federated Learning Algorithm for Processing and Securing Distributed Heterogeneous Data in the Metaverse
Le Sun, Zhimeng Zhang, Ghulam Muhammad
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5540-5551
Open Access | Times Cited: 1

Location-Based Service Insights: A Comprehensive Review of Data Mining Objects
Bayu Yanuargi, Ema Utami, Kusrini Kusrini, et al.
(2024), pp. 1-6
Closed Access

Edge-to-Cloud Continuum Orchestrator for Distributed Video Applications
Pietro Ruiu, Claudio Rubattu, Matteo Anedda, et al.
2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) (2024), pp. 1-6
Closed Access

A Spark-based Task Allocation Solution for Machine Learning in the Edge-Cloud Continuum
Loris Belcastro, Fabrizio Marozzo, Aleandro Presta, et al.
(2024), pp. 576-582
Closed Access

Scaling Machine Learning at the Edge-Cloud: A Distributed Computing Perspective
Fabrizio Marozzo, Alessio Orsino, Domenico Talia, et al.
(2023), pp. 761-767
Closed Access | Times Cited: 1

Deep Learning Meets Smart Agriculture: Using LSTM Networks to Handle Anomalous and Missing Sensor Data in the Compute Continuum
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino
Internet of things (2023), pp. 141-153
Closed Access | Times Cited: 1

Evaluating the Performance of a Multimodal Speaker Tracking System at the Edge-to-Cloud Continuum
Alessio Orsino, Riccardo Cantini, Fabrizio Marozzo
Internet of things (2023), pp. 155-166
Closed Access

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